| fine-grained-image-classification-on-oxford-iiit-pet | AutoFormer-S | 384 | #8 | Accuracy: 94.9% |
| image-classification-on-cifar-10 | AutoFormer-S | 384 | #20 | Percentage correct: 99.1 |
| fine-grained-image-classification-on-oxford-102-flowers | AutoFormer-S | 384 | #22 | Top 1 Accuracy: 98.8 |
| fine-grained-image-classification-on-stanford-cars | AutoFormer-S | 384 | #47 | Accuracy: 93.4% |
| image-classification-on-imagenet | AutoFormer-base | #571 | Top 1 Accuracy: 82.4%Number of params: 54MGFLOPs: 11 |
| image-classification-on-imagenet | AutoFormer-small | #652 | Top 1 Accuracy: 81.7%Number of params: 22.9MGFLOPs: 5.1 |
| image-classification-on-imagenet | AutoFormer-tiny | #1014 | Top 1 Accuracy: 74.7%Number of params: 5.7MGFLOPs: 1.3 |